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ORCIDJohn T. Ellis
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2010 – 2019
- 2017
[j7]Jing Ren, Jiangning Song
, John T. Ellis, Jinyan Li:
Staged heterogeneity learning to identify conformational B-cell epitopes from antigen sequences. BMC Genom. 18(S2) (2017)- [c3]Qinxue Meng, Jia Wu, John T. Ellis, Paul J. Kennedy:
Dynamic island model based on spectral clustering in genetic algorithm. IJCNN 2017: 1724-1731 - 2015
- [j6]Jing Ren, Qian Liu, John T. Ellis, Jinyan Li:
Positive-unlabeled learning for the prediction of conformational B-cell epitopes. BMC Bioinform. 16(S18): S12 (2015) - 2014
- [j5]Jing Ren, Qian Liu, John T. Ellis, Jinyan Li:
Tertiary structure-based prediction of conformational B-cell epitopes through B factors. Bioinform. 30(12): 264-273 (2014) - [j4]Stephen J. Goodswen, Paul J. Kennedy, John T. Ellis:
Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology. Bioinform. 30(16): 2381-2383 (2014) - [j3]Jing Ren, John T. Ellis, Jinyan Li:
Influenza A HA's conserved epitopes and broadly neutralizing antibodies: A prediction method. J. Bioinform. Comput. Biol. 12(5) (2014) - 2013
- [j2]Stephen J. Goodswen, Paul J. Kennedy, John T. Ellis:
A guide to in silico vaccine discovery for eukaryotic pathogens. Briefings Bioinform. 14(6): 753-774 (2013) - [j1]Stephen J. Goodswen, Paul J. Kennedy, John T. Ellis:
A novel strategy for classifying the output from an in silico vaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms. BMC Bioinform. 14: 315 (2013)
1980 – 1989
- 1985
- [c2]James W. Hooper, John T. Ellis, T. A. Johnson:
Distributed Software Prototyping with ADS. ICSE 1985: 216-223 - 1984
- [c1]John T. Ellis:
A Distributed Software Runtime Environment to Support Testbed Experimentation using ADL/ADS. ICDE 1984: 544-551
Coauthor Index
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